Module Information
Module Identifier
GG21710
Module Title
Analysis and Presentation of Geographical Data
Academic Year
2016/2017
Co-ordinator
Semester
Semester 2 (Taught over 2 semesters)
Other Staff
Course Delivery
| Delivery Type | Delivery length / details |
|---|---|
| Lecture | 6 x 1 Hour Lectures |
| Lecture | 1 x 1 Hour Lecture |
| Practical | 5 x 1 Hour Practicals |
| Practical | 5 x 2 Hour Practicals |
Assessment
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Assessment | Workbooks. Continuous assessment based on the production of two workbooks. | 100% |
| Supplementary Assessment | Resubmission of both workbooks. | 100% |
Learning Outcomes
On completion of this module, students will:
- Be competent in the acquisition, summary, analysis and presentation of geographical data.
- Be able to select and apply data acquisition, analysis and presentation techniques to support independent research work (e.g. Dissertations, fieldwork, project reports).
Brief description
The module will be presented in 10 sessions through weeks 1 to 5 of semester 1 (Sessions 1 to 5) and weeks 1 to 5 of Semester 2 (Sessions 6 to 10). This timing will ensure students have completed the module coursework and submissions by the end of Week 8 of each semester, freeing up time to complete background reading and coursework for other modules. It will also allow staff time to provide students with marks and feedback relating to each Workbook before the end of each semester.
Each session will comprise an introductory lecture of 1 hour following by a surgery class of 2 hours. Each session will be accompanied by a computer-based practical that students will be required to complete in their own time. We strongly recommend students complete their practical work in the week following the relevant lecture - allowing full use of the following week's surgery session and leaving time at the end of the semester to fine tune the completed workbook.
Familiarisation with the data handling, processing and presentation techniques involved will be achieved using data sets provided from a range of geographical and earth science settings.
Each session will comprise an introductory lecture of 1 hour following by a surgery class of 2 hours. Each session will be accompanied by a computer-based practical that students will be required to complete in their own time. We strongly recommend students complete their practical work in the week following the relevant lecture - allowing full use of the following week's surgery session and leaving time at the end of the semester to fine tune the completed workbook.
Familiarisation with the data handling, processing and presentation techniques involved will be achieved using data sets provided from a range of geographical and earth science settings.
Content
Semester 1: Data Analysis
1. Describing data: Sampling; data types; descriptive statistics; summary tables
2. Sample comparison I: Statistical testing in MS Excel
3. Sample comparison II: Statistical testing in SPSS/Minitab
4. Correlation and regression I: Linear
5. Correlation and regression II: Multiple
Semester 2: Data Presentation
6. Advanced graphing: Time series; histograms; multiple plots
7. Remote sensing I: Image display
8. Remote sensing II: Image statistics and enhancement
9. Cartography in GIS I: Surface graphs and contour plots
10. Cartography in GIS II: Map production
1. Describing data: Sampling; data types; descriptive statistics; summary tables
2. Sample comparison I: Statistical testing in MS Excel
3. Sample comparison II: Statistical testing in SPSS/Minitab
4. Correlation and regression I: Linear
5. Correlation and regression II: Multiple
Semester 2: Data Presentation
6. Advanced graphing: Time series; histograms; multiple plots
7. Remote sensing I: Image display
8. Remote sensing II: Image statistics and enhancement
9. Cartography in GIS I: Surface graphs and contour plots
10. Cartography in GIS II: Map production
Module Skills
| Skills Type | Skills details |
|---|---|
| Application of Number | Use of mathematics/statistics in computer-based data synthesis and statistical exercises |
| Communication | Presentation of data and maps |
| Improving own Learning and Performance | Meeting coursework deadlines and producing two workbooks to specific assessment criteria |
| Information Technology | Advanced computer-based use of spreadsheets, statistical programmes GIS and remote sensing software |
| Personal Development and Career planning | No |
| Problem solving | Quantitative skills, statistical analysis and computer-based analysis of GIS and remotely sensed data |
| Research skills | Data collection, synthesis, analysis and presentation |
| Subject Specific Skills | Specialist skills in GIS analysis. |
| Team work | No |
Notes
This module is at CQFW Level 5